We understand the importance of working toward sustainability goals and their implications for mobility in cities. The initiatives for improving the availability of safe and smooth ways to move around cities on foot or by bicycle play a crucial role in achieving them. To be able to make good decisions in implementing them, the municipalities need comprehensive data to realize traffic solutions that take into account the complexity of modern city traffic. To help with this we will be introducing the FLOW active mobility. In the video, you can see a short preview.
FLOW active mobility is a group of upcoming improvements bringing more detailed categorization of and richer data on the traffic participants. In the video, you can see that FLOW is detecting not only pedestrians and cyclists but also scooters, and even prams and wheelchairs. Additionally, we are now able to determine age (child, adult. senior) and gender (male, female). With these deep data insights, it is now easy to gain a thorough understanding of active mobility to be able to better design public spaces, cyclist paths, and cities as a whole. Create breakdowns by category, direction, age or time and gather long terms statistics thanks to FLOW. These features will be available in the applications both on the Azena store and Axis Communications's ACAP.
Learn more about our active mobility monitoring solutions: [ Ссылка ]
If you would like to discuss your project, analyze your camera stream with our video analytics or anything else please get in touch via email info@datafromsky.com or call us at +420 604 358 993.
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We are DataFromSky and we do AI video analysis for traffic, parking, retail and safety. What exactly? We do offline traffic surveys that help redesign roads and cities. We can do analysis of traffic in real time to detect dangerous situations, improve traffic flow or detect driving violations. Want to detect the number of free and taken parking slots in an open area with a single camera? No problem! Count the number of people passing by your store?
What is special about us? Our framework uses AI and can turn any camera into a smart sensor. The cameras can then work together and create unique single trajectory data that can not only classify the object but also detect speed, stationary duration or distance between objects.
Give it a go! Get your video analysed: [ Ссылка ]
Or download the demokit of the super easy to use FLOW framework and try to design your own live sensor in minutes here: [ Ссылка ]
